# Dust vs SamSearch

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. SamSearch records 18,534 monthly visits with -5.3% growth and Paid pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [SamSearch](https://openaitools.app/tool/samsearch) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://samsearch.co |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Search Engine, AI Contract Generator, AI Summarizer, AI Chatbot |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 547,217 | 18,534 |
| MoM Growth Rate | +1.8% | -5.3% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 5,494 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 5 | 1 |
| Supported Platforms | Website | Website |

## Dust

Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters.

The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway.

Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform.

**Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures.

- **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses.
- **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat.
- **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task.
- **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast.
- **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in.

**Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments

**Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams

[Profile (Markdown)](https://openaitools.app/tool/dust.md)

## SamSearch

SamSearch positions itself as the operating system for government contracting. Instead of a single search box, the platform is organized around six stages of the GovCon lifecycle: Influence (shaping requirements before competitors see them), Capture (finding and qualifying work across federal, SLED and DIBBS markets), Analyze (extracting requirements and building compliance matrices), Manage (running the pursuit through to award), Respond (drafting and submitting responses) and Finance (getting paid faster on won work).

The intelligence layer is driven by AI agents that screen large volumes of solicitations and surface qualified matches. The marketing cites examples such as screening 25,489 opportunities down to 6,969 matches, and screening 11,260 solicitations to identify 226 qualified retail bids. An in-product assistant named "Ask Sammy" answers questions like whether a company meets a small business set-aside, and every extracted requirement is cited back to source. Alongside discovery, the platform supports compliance matrices, proposal drafting, scheduling and stakeholder tracking, teaming and partner matching, and working capital advances against awarded contracts.

SamSearch is sold to small businesses, enterprises, subcontractors, primes and advisors, with industry verticals for software, defense, construction and cybersecurity. Pricing is not published; the platform encourages prospects to request a demo. It reports being rated 4.9/5 on G2 and associated with billions of dollars in won government contracts.

**Pricing & Plans:** Pricing is not published publicly. SamSearch sells via demo request, with plans most likely segmented by company size and seat count. Prospects should contact the vendor for current quotes.

- **AI opportunity screening:** Agents find, read and qualify opportunities across federal, state, local and DIBBS markets, cutting large solicitation volumes down to relevant matches.
- **Requirements extraction and compliance matrices:** Extracts SOW requirements, maps them to Section L/M, and builds a compliance matrix with every extraction cited back to source.
- **AI proposal drafting:** Drafts proposal volumes and RFI responses using company details, UEI and capability narratives to speed up submission.
- **Pursuit management:** Runs the pursuit to award with pipeline tracking, submission milestones, teaming, and task assignment across the team.
- **Ask Sammy assistant:** A conversational assistant that answers questions such as whether you meet a small business set-aside, grounded in your pursuit data.
- **Contract financing:** Surfaces working capital advances against awarded contracts, with partner matching and underwriting support.

**Strengths:** Covers the full lifecycle from intelligence to finance in one system; AI screening reduces huge solicitation volumes to qualified matches; Citations and compliance matrices traceable back to source requirements; Serves federal, SLED and DIBBS markets in a single platform

**Limitations:** No public pricing; requires a demo and sales process; Deep GovCon feature set may be complex for very new contractors; Best value depends on high pursuit volume and team adoption

[Profile (Markdown)](https://openaitools.app/tool/samsearch.md)

## Frequently Asked Questions

### How do Dust and SamSearch compare in monthly traffic?

Dust has 547,217 monthly visits, while SamSearch has 18,534. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dust has a month-over-month growth rate of +1.8%; SamSearch has -5.3%.

### How does pricing compare?

Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. SamSearch: Paid. Pricing is not published publicly. SamSearch sells via demo request, with plans most likely segmented by company size and seat count. Prospects should contact the vendor for current quotes.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 3 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) |
| 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 5 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 6 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) |
| 7 | [Deep Search](https://openaitools.app/tool/deep-search) | 359,001 | -52.7% | Paid | AI-enriched people profiles built from the public web, with sources you can verify | [.md](https://openaitools.app/tool/deep-search.md) |
| 8 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) |
| 9 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 10 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) |

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Source: https://openaitools.app/compare/dust-vs-samsearch

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